Defect separation considerations in magnetic flux leakage inspection

Mandache, Catalin; Shiari, Behrouz; Clapham, L.

doi:10.1784/insi.47.5.269.65050

Cited by 19 publications

(11 citation statements)

References 5 publications

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“…According to the code z66e of 'oil and gas pipe line system' the non-interacting defect is defined as the distance between the two defects which is large longitudinal length of the diameter of the defect [11]. In this work, two different cases are considered.…”

Section: B Mfl Signals For Non-interacting Holesmentioning

confidence: 99%

“…Magnetic leakage profiles of the interacting and non-interacting defects are analyzed and we conclude that the center to center distance between two axially aligned defects is greater than the four times of the defect radius is considered as non-interacting defect. The non-interacting defect has no flux shielding effect [11]. John T. Conway derived the formula for the magnetic field components of the coil of rectangular cross section.…”

Section: Introductionmentioning

confidence: 99%

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An Analytical Model for Prediction of Magnetic Flux Leakage from Surface Defects in Ferromagnetic Tubes

Suresh

Abudhahir

2016

Measurement Science Review

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In this paper, an analytical model is proposed to predict magnetic flux leakage (MFL) signals from the surface defects in ferromagnetic tubes. The analytical expression consists of elliptic integrals of first kind based on the magnetic dipole model. The radial (B z ) component of leakage fields is computed from the cylindrical holes in ferromagnetic tubes. The effectiveness of the model has been studied by analyzing MFL signals as a function of the defect parameters and lift-off. The model predicted results are verified with experimental results and a good agreement is observed between the analytical and the experimental results. This analytical expression could be used for quick prediction of MFL signals and also input data for defect reconstructions in inverse MFL problem.

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Section: B Mfl Signals For Non-interacting Holesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Analytical Model for Prediction of Magnetic Flux Leakage from Surface Defects in Ferromagnetic Tubes

Suresh

Abudhahir

2016

Measurement Science Review

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“…To overcome these limitations, this research proposes a noncontact NDE technique incorporating magnetic sensing technology to exploit the ferromagnetic characteristics of steel cables. Magnetic sensors have been extensively used to monitor the safety of structures due to their great reproducibility and reliability [1][2][3]. Various types of magnetic sensors exist to measure various magnetic properties, and the appropriate magnetic properties obtained from the measured magnetic signals can be used to inspect the structure according to the characteristics of the targeted object [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Cross-Sectional Loss Quantification for Main Cable NDE Based on the B-H Loop Measurement Using a Total Flux Sensor

Kim

Park

2019

Journal of Sensors

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In the real world, the main cables of suspension bridges are commonly inspected by conducting a periodic visual inspection of the exterior cover of the cable. Although there is a need to conduct a nondestructive evaluation (NDE) of the damage of the main cable, a suitable NDE technique has not yet been developed due to the large diameter and low accessibility of the cable. This study investigates a magnetic sensing cross-sectional loss quantification method that can detect internal and external damage to the main cables. This main cable NDE method applies an extremely low-frequency alternating current (ELF-AC) magnetization method and search coil sensor-based total flux measurement. A total flux sensor head consists of a magnetization yoke and a search coil sensor. To magnetize the main cable, a magnetic field was generated by applying a triangular ELF-AC voltage to the electromagnet yoke. The sensing part measures the magnetic flux that passes through the search coil, and the B-H loop was then obtained using the relationship between the ELF-AC voltage that has been input and the total flux that was measured. Also, the cross-sectional loss can be quantified using a variation of magnetic features from the B-H loop. To verify the feasibility of using the proposed NDE technique, a series of experiments were performed using a main cable specimen with a gradual increase in the cross-sectional loss. Finally, the relationship between the cross-sectional loss and extracted magnetic feature was determined and used to quantify the cross-sectional loss via the proposed method.

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“…The data obtained through the in-situ inspection of the specimen in literature are compared with the MFL profile generated by the calibrated samples. Recording the pattern of the leakage profile for the known defect in forward approach is not necessary when the dipole model is considered [2], [7]. Zatsepin et al (1966) introduced an analytical model using the point or strip of dipole for rectangular shape defect [8].…”

Section: Introductionmentioning

confidence: 99%

Theoretical Analysis of the Rectangular Defect Orientation using Magnetic Flux Leakage

Alaric

Suresh²,

Abudhahir

et al. 2018

Measurement Science Review

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This paper presents an approach to estimate the orientation of the rectangular defect in the ferromagnetic specimen using the magnetic flux leakage technique. Three components of the magnetic flux leakage profile, such as radial, axial, and tangential component are considered to estimate the orientation of the rectangular defect. The orientation of the rectangular defect is estimated by the proposed analytical model using MATLAB software. The results calculated by the analytical model are validated by the three-dimensional finite element analysis using COMSOL Multiphysics software. Tangential component provides better performance to estimate the orientation of the rectangular defect compared with radial and axial component of the magnetic flux leakage profile.

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Defect separation considerations in magnetic flux leakage inspection

Abstract: Figure 1. Schematic representation of two axially aligned interacting defects-the area between the defects is exposed to stress superposition and magnetic flux shielding

Cited by 19 publications

References 5 publications

An Analytical Model for Prediction of Magnetic Flux Leakage from Surface Defects in Ferromagnetic Tubes

An Analytical Model for Prediction of Magnetic Flux Leakage from Surface Defects in Ferromagnetic Tubes

Cross-Sectional Loss Quantification for Main Cable NDE Based on the B-H Loop Measurement Using a Total Flux Sensor

Theoretical Analysis of the Rectangular Defect Orientation using Magnetic Flux Leakage

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